Next Article in Journal
IEC 61850 Configuration Solution to Distributed Intelligence in Distribution Grid Automation
Previous Article in Journal
Experimental Investigation of Stress Rate and Grain Size on Gas Seepage Characteristics of Granular Coal
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Energies 2017, 10(4), 525; doi:10.3390/en10040525

A Bi-Level Coordinated Optimization Strategy for Smart Appliances Considering Online Demand Response Potential

1
School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
2
Jiangsu Electric Power Company Research Institute, Nanjing 211103, Jiangsu, China
*
Author to whom correspondence should be addressed.
Academic Editor: Chunhua Liu
Received: 20 March 2017 / Revised: 9 April 2017 / Accepted: 11 April 2017 / Published: 13 April 2017
(This article belongs to the Section Electrical Power and Energy System)
View Full-Text   |   Download PDF [4943 KB, uploaded 13 April 2017]   |  

Abstract

Demand response (DR) is counted as an effective method when there is a large-capacity power shortage in the power system, which may lead to peak loads or a rapid ramp. This paper proposes a bi-level coordinated optimization strategy by quantitating the DR potential (DRP) of smart appliances to descend the steep ramp and balance the power energy. Based on dynamic characteristics of the smart appliances, the mathematic models of online DRP are presented. In the upper layer, a multi-agent coordinated distribution method is proposed to allocate the demand limit to each agent from the dispatching center considering the online DRP. In the lower layer, an optimal smart appliances-controlling strategy is presented to guarantee the total household power consumption of each agent below its demand limit considering the consumers’ comfort and response times. Simulation results indicate the feasibility of the proposed strategy. View Full-Text
Keywords: demand response potential (DRP); bi-level strategy; smart appliance; comfort index demand response potential (DRP); bi-level strategy; smart appliance; comfort index
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ning, J.; Tang, Y.; Chen, Q.; Wang, J.; Zhou, J.; Gao, B. A Bi-Level Coordinated Optimization Strategy for Smart Appliances Considering Online Demand Response Potential. Energies 2017, 10, 525.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top